The next ten years of AI will not be won in software. They will be won in the physical world. In factories, hospitals, kitchens, fields, and homes. The companies that own that data will own the century.

microagi is building it. We are the data layer for physical AI.

We are hiring two or three researchers. The brief is deliberately open. Pick the problems in physical AI that matter most to the data we collect, and go after them. That covers egocentric perception, hand and body understanding, action representation, and the models that learn from watching people work.

What You Will Do

• Choose the research problems worth spending months on, and defend the choice.
• Train models on egocentric video, depth, IMU, and motion data at scale.
• Build the evaluation sets that tell you whether a result is real or a measurement artifact.
• Turn results into things that ship. Better annotations, better datasets, better models for customers.
• Reproduce the work coming out of the field that looks important, and ignore the rest.
• Sit with the engineers who run the pipeline rather than handing them papers.

Requirements

• A track record at a top-tier lab, or work you shipped that shows the same depth. We care about the work, not the letterhead.
• Publications at strong venues, or models in production that people actually use.
• Strong PyTorch or JAX. You write the training code yourself.
• Depth in computer vision, multimodal learning, or robot learning.
• You can hold a direction for months and still kill it when the evidence says to.
• High agency - you don't wait to be told what to do.
• Fluent in English.

Nice to Have

• Experience with egocentric datasets such as Ego4D, Ego-Exo4D, or EPIC-Kitchens.
• Large-scale distributed training.
• Open-source work that other researchers build on.

#LI-DNI